Triple
T11627419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan City of Palermo |
E276306
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Casteldaccia
Casteldaccia is a coastal town in northern Sicily, Italy, known for its wine production and proximity to Palermo.
|
E938413
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Casteldaccia | Statement: [Metropolitan City of Palermo, contains, Casteldaccia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casteldaccia Context triple: [Metropolitan City of Palermo, contains, Casteldaccia]
-
A.
Castelforte
Castelforte is a small Italian town and comune in the Lazio region, known for its historic hilltop setting and role in World War II battles near the Gustav Line.
-
B.
Castelvenere
Castelvenere is a small Italian municipality in the Campania region, noted for its wine production and rural character.
-
C.
Castelleone
Castelleone is a historic town and comune in northern Italy’s Lombardy region, known for its medieval architecture and agricultural surroundings.
-
D.
Castrogiovanni
Castrogiovanni is the former name of the Sicilian city now known as Enna, located in the center of the island.
-
E.
Certaldo
Certaldo is a historic Tuscan town in central Italy, best known as the birthplace and longtime home of the writer Giovanni Boccaccio.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Casteldaccia Triple: [Metropolitan City of Palermo, contains, Casteldaccia]
Generated description
Casteldaccia is a coastal town in northern Sicily, Italy, known for its wine production and proximity to Palermo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Casteldaccia Target entity description: Casteldaccia is a coastal town in northern Sicily, Italy, known for its wine production and proximity to Palermo.
-
A.
Castelforte
Castelforte is a small Italian town and comune in the Lazio region, known for its historic hilltop setting and role in World War II battles near the Gustav Line.
-
B.
Castelvenere
Castelvenere is a small Italian municipality in the Campania region, noted for its wine production and rural character.
-
C.
Castelleone
Castelleone is a historic town and comune in northern Italy’s Lombardy region, known for its medieval architecture and agricultural surroundings.
-
D.
Castrogiovanni
Castrogiovanni is the former name of the Sicilian city now known as Enna, located in the center of the island.
-
E.
Certaldo
Certaldo is a historic Tuscan town in central Italy, best known as the birthplace and longtime home of the writer Giovanni Boccaccio.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a1259cd08190a75eeacb5e39b858 |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87922b308190a16d026a75b1043e |
completed | April 26, 2026, 9:45 p.m. |
| NEDg | Description generation | batch_69eeb3137f4c8190ba8ac48b2cb419b4 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee9845bec81909f0f9b005f75249a |
completed | April 27, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:39 p.m.